MSGID: 1:317/3 646306dc
PID: hpt/lnx 1.9.0-cur 2019-01-08
TID: hpt/lnx 1.9.0-cur 2019-01-08
 Can't find your phone? There's a robot for that 
 Robots can help find objects you've lost, thanks to new 'artificial
memory' 

  Date:
      May 15, 2023
  Source:
      University of Waterloo
  Summary:
      Engineers have discovered a new way to program robots to help
      people with dementia locate medicine, glasses, phones and other
      objects they need but have lost.


      Facebook Twitter Pinterest LinkedIN Email

==========================================================================
FULL STORY
==========================================================================
Engineers at the University of Waterloo have discovered a new way to
program robots to help people with dementia locate medicine, glasses,
phones and other objects they need but have lost.

And while the initial focus is on assisting a specific group of people,
the technology could someday be used by anyone who has searched high
and low for something they've misplaced.

"The long-term impact of this is really exciting," said Dr. Ali Ayub,
a post- doctoral fellow in electrical and computer engineering. "A
user can be involved not just with a companion robot but a personalized
companion robot that can give them more independence."  Ayub and three
colleagues were struck by the rapidly rising number of people coping with
dementia, a condition that restricts brain function, causing confusion,
memory loss and disability. Many of these individuals repeatedly forget
the location of everyday objects, which diminishes their quality of life
and places additional burdens on caregivers.

Engineers believed a companion robot with an episodic memory of its own
could be a game-changer in such situations. And they succeeded in using
artificial intelligence to create a new kind of artificial memory.

The research team began with a Fetch mobile manipulator robot, which
has a camera for perceiving the world around it.

Next, using an object-detection algorithm, they programmed the robot to
detect, track and keep a memory log of specific objects in its camera
view through stored video. With the robot capable of distinguishing one
object from another, it can record the time and date objects enter or
leave its view.

Researchers then developed a graphical interface to enable users to choose
objects they want to be tracked and, after typing the objects' names,
search for them on a smartphone app or computer. Once that happens, the
robot can indicate when and where it last observed the specific object.

Tests have shown the system is highly accurate. And while some individuals
with dementia might find the technology daunting, Ayub said caregivers
could readily use it.

Moving forward, researchers will conduct user studies with people without
disabilities, then people with dementia.

A paper on the project, Where is my phone? Towards developing an episodic
memory model for companion robots to track users' salient objects,
was presented at the recent 2023 ACM/IEEE International Conference on
Human-Robot Interaction.

    * RELATED_TOPICS
          o Mind_&_Brain
                # Dementia # Memory # Alzheimer's # Intelligence
          o Computers_&_Math
                # Robotics # Artificial_Intelligence # Mobile_Computing
                # Computer_Science
    * RELATED_TERMS
          o Multi-infarct_dementia o Dementia_with_Lewy_bodies o
          Humanoid_robot o Industrial_robot o Robot o Robotic_surgery
          o Alzheimer's_disease o Object-oriented_programming

==========================================================================
Story Source: Materials provided by University_of_Waterloo. Note:
Content may be edited for style and length.


==========================================================================
Journal Reference:
   1. Juhi Shah, Ali Ayub, Chrystopher L. Nehaniv, Kerstin
   Dautenhahn. Where is
      My Phone? HRI '23: Companion of the 2023 ACM/IEEE
      International Conference on Human-Robot Interaction, 2023 DOI:
      10.1145/3568294.3580160
==========================================================================

Link to news story:
https://www.sciencedaily.com/releases/2023/05/230515132043.htm

--- up 1 year, 11 weeks, 10 hours, 50 minutes
 * Origin: -=> Castle Rock BBS <=- Now Husky HPT Powered! (1:317/3)
SEEN-BY: 15/0 106/201 114/705 123/120 153/7715 218/700 226/30 227/114
SEEN-BY: 229/110 112 113 307 317 400 426 428 470 664 700 292/854 298/25
SEEN-BY: 305/3 317/3 320/219 396/45
PATH: 317/3 229/426